Application of multilayered porous media for heat transfer optimization in double pipe heat exchangers using neural network and NSGA II

Application of multilayered porous media for heat transfer optimization in double pipe heat exchangers using neural network and NSGA II

Abstract This study investigates the use of multi-layered porous media (MLPM) to enhance thermal energy transfer within a counterflow double-pipe heat exchanger (DPHE). We conducted computational fluid dynamics (CFD) simulations on DPHEs featuring five distinct MLPM configurations, analyzed under bo...

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Bibliographic Details
Main Authors: Hamid-Reza Bahrami, Amir-Erfan Sharifi
Format: Article
Language:English
Published: Nature Portfolio 2024-12-01
Series:Scientific Reports
Subjects:
Multi-layered porous media
Double pipe heat exchanger
Neural networks
NSGA-II
Heat transfer
Online Access:https://doi.org/10.1038/s41598-024-83176-y
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https://doi.org/10.1038/s41598-024-83176-y

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